AI Engineer
# AI Engineer **DOTMAPPERS IT PVT LTD** · Bangalore City, Bengaluru, Karnataka · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### About the Role As an AI Engineer – Agentic AI Systems, you will design, build, and ship intelligent agents and orchestration pipelines that power DOTMapper’s internal AI operating model. You will work within a focused AI team, reporting to the Senior Director of AI & Automation, to deliver agentic automation across marketing, operations, and data workflows. You will be responsible for building the systems that directly impact how 400+ live client accounts across Australia are serviced. This role requires a blend of AI/ML expertise, strong software engineering fundamentals, and a practical understanding of automation ecosystems. KEY RESPONSIBILITIES Agentic AI Development Design, develop, and deploy production-grade agentic AI systems using LLMs as the core reasoning layer. Build multi-agent orchestration architectures with structured tool routing via MCP (Model Context Protocol). Implement human-in-the-loop approval gates and automation maturity frameworks for safe agentic deployment. Develop and optimize Retrieval-Augmented Generation (RAG) architectures for domain-specific knowledge retrieval. Fine-tune prompts, agent workflows, and model interactions to improve accuracy, reliability, and performance. Evaluate and integrate emerging agentic AI frameworks and technologies into production workflows. AI Automation & Workflow Engineering Build intelligent agents for marketing operations — paid media management, SEO automation, CRO, competitor intelligence, and performance reporting. Integrate LLMs with ad platform APIs (Google Ads, Meta, TikTok, LinkedIn), CRM systems (GoHighLevel), and data sources via REST APIs and event-driven patterns. Develop classification and routing logic for internal request intake, agent handoff, and task automation. Software Engineering & Platform Development Develop scalable backend services and APIs using Python. Build production-ready AI Agents with robust architecture, security, and monitoring practices. Collaborate with cross-functional teams to ensure seamless deployment and integration of AI solutions. Optimize system performance, scalability, and reliability for AI workloads. REQUIRED SKILLS & QUALIFICATIONS Technical Skills 4–6 years of software engineering experience, with at least 3 years specifically in LLM/AI agent development in production. Strong proficiency in Python and/or JavaScript/TypeScript for Agentic AI and automation development. Deep hands-on experience with Generative AI, Large Language Models (LLMs), and agentic AI orchestration frameworks. Proven experience building multi-agent systems: multi-step reasoning loops, tool-calling agents, and human-in-the-loop workflows. Strong experience building RAG (Retrieval-Augmented Generation) solutions for domain-specific use cases. Experience with prompt engineering, embeddings, vector databases, and AI agent frameworks. Knowledge of LLM platforms such as Anthropic Claude, OpenAI, Gemini, or similar ecosystems. Experience with workflow automation platforms such as n8n, Make, or similar. Hands-on experience with MCP (Model Context Protocol) — building or consuming MCP servers. Solid understanding of REST API patterns, webhooks, and event-driven architectures. Database proficiency: MySQL, MongoDB, PostgreSQL, and SQL databases. Familiarity with AI-assisted development tools such as Cursor and modern coding copilots. Understanding software engineering best practices: CI/CD, testing, and deployment. Preferred Skills Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar agentic AI frameworks. Experience with ad platform APIs — Google Ads API, Meta Marketing API, or similar. Familiarity with CRM/marketing automation platforms such as GoHighLevel (GHL). Understanding digital marketing concepts — paid media, SEO, CRO, and campaign management. Prior experience working in a digital marketing Knowledge of cloud platforms such as AWS, Azure, or GCP. Exposure to MLOps, model deployment, monitoring, and observability. Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Provident Fund Ability to commute/relocate: Bangalore City, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have hands-on experience with RAG (Retrieval-Augmented Generation) systems? Which Agentic AI frameworks have you worked with hands-on? Experience: AI/ML: 4 years (Required) Python: 3 years (Required) Location: Bangalore City, Bengaluru, Karnataka (Preferred) Work Location: In person
Наблюдалась 2026-09-15, впервые 2026-09-15, источник — Indeed.